
Lead AI/ML Engineer
2 days ago
Key Responsibilities
- Lead the design, development, and deployment of AI/ML models and systems.
- Collaborate with data scientists, engineers, and business stakeholders to identify opportunities for AI-driven solutions.
- Architect scalable ML pipelines for training, testing, and deploying models.
- Ensure model accuracy, reliability, and performance in production environments.
- Stay updated with advancements in AI/ML frameworks, tools, and research.
- Mentor and guide junior engineers, promoting best practices in ML engineering.
- Work with cloud platforms (AWS, GCP, Azure) for scalable AI deployments.
- Oversee model monitoring, retraining, and lifecycle management.
Requirements
- Bachelor's/Master's degree in Computer Science, Data Science, AI/ML, or related field (PhD preferred).
- 6–10+ years of proven experience in AI/ML roles.
- Strong expertise in Python, TensorFlow, PyTorch, Scikit-learn, and related frameworks.
- Hands-on experience with NLP, Computer Vision, or Generative AI models.
- Solid understanding of data engineering, feature engineering, and big data tools (Spark, Hadoop, etc.).
- Experience in MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes).
- Strong problem-solving, analytical, and leadership skills.
Preferred Skills
- Experience with LLMs (Large Language Models) and transformer-based architectures.
- Knowledge of reinforcement learning or advanced optimization techniques.
- Publications or contributions to AI/ML research communities.
- AI/ML certifications from leading platforms (Google, AWS, etc.).
Job Type: Full-time
Work Location: In person
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